Design of a Predictive Hierarchical Controller Using FEMLAB

A hierarchical controller with two levels is proposed. One level is based on dynamic optimization while the second is responsible for tracking the optimal trajectory and rejecting disturbances. Its implementation using the FEMLAB system is described. Some simulations are presented at the end of the paper, together with an evaluation of the performance.

Experimental system design for the integration of trapped-ion and superconducting qubit systems

We present a design for the experimental integration of ion trapping and superconducting qubit systems as a step towards the realization of a quantum hybrid system. The scheme addresses two key difficulties in realizing such a system: a combined microfabricated ion trap and superconducting qubit architecture, and the experimental infrastructure to facilitate both technologies. Developing upon work by Kielpinski et al. (Phys Rev Lett 108(13):130504, 2012. doi:10.1103/PhysRevLett.108.130504), we describe the design, simulation and fabrication process for a microfabricated ion trap capable of coupling an ion to a superconducting microwave LC circuit with a coupling strength in the tens of kHz. We also describe existing difficulties in combining the experimental infrastructure of an ion trapping set-up into a dilution refrigerator with superconducting qubits and present solutions that can be immediately implemented using current technology

Regulace výstupu pro systémy nehyperbolicky neminimální ve fázi pomocí numerického balíku FEMLAB

The aim of this paper is twofold. First, it provides another option how to obtain a universal easily implementable method for the solution of the regulator equations using the FEMLAB package. The regulator equation originates from the output regulation problem. The main idea of the presented method is making a slight change of the regulator equation. It is then solved using the finite-elementmethod

Design of a Predictive Hierarchical Controller Using FEMLAB

A hierarchical controller with two levels is proposed. One level is based on dynamic optimization while the second is responsible for tracking the optimal trajectory and rejecting disturbances. Its implementation using the FEMLAB system is described. Some simulations are presented at the end of the paper, together with an evaluation of the performance.